### Abstract

The trend in modal extraction algorithms is to use all the available frequencyresponse functions data to obtain a global estimate of the natural frequencies,

damping ratio and mode shapes. Improvements in transducer and signal

processing technology allow the simultaneous measurement of many hundreds

of channels of response data. The quantity of data available and the complexity

of the extraction algorithms make considerable demands on the available

computer power and require a powerful computer or dedicated workstation to

perform satisfactorily. An alternative to waiting for faster sequential processors is to implement the algorithm in parallel, for example on a network of Transputers. Parallel architectures are a cost effective means of increasing computational power, and a larger number of response channels would simply require more processors. This thesis considers how two typical modal extraction algorithms, the Rational Fraction Polynomial method and the Ibrahim Time Domain method, may be implemented on a network of transputers. The Rational Fraction Polynomial Method is a well known and robust frequency domain 'curve fitting' algorithm. The Ibrahim Time Domain method is an efficient algorithm that 'curve fits' in the time domain. This thesis reviews the algorithms, considers the problems involved in a parallel implementation, and shows how they were implemented on a real Transputer network.

Date of Award | Jan 1996 |
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Original language | English |

### Keywords

- parallel processing methods
- vibrational analysis